For the CA archive, each objective is scaled to [0,1] before calculating the indicator value for each individual. Then, after calculating the \(I_{\epsilon +}(x,y)\)  for each individual, calculate the maximum absolute indicator value of \(I_{\epsilon +}(x,y)\) , scale the value of indicator \(I_{\epsilon +}(x,y)\)  to [-1,1] and calculate the \(I_1(x)\)  for all individuals. Finally, a new environment selection method for updating CA archive with reference to [1]} is used, and the update method of the normalized CA archive is shown in Algorithm 5. As for the DA archive, only the normalization of \(H_2\)  should be added in front of Algorithm 4, which will not be shown here.
